An IoT-Based Smart Smoke Alarm System Using Multi-Sensor Fusion and Intelligent Monitoring for Enhanced Fire Safety

Abstract: Early detection of fire hazards is essential to minimize loss of life and property in residential and commercial buildings. Traditional smoke alarm systems tend to use a operating system that is based on a single sensor, resulting in a large false alarm rate and lack of situational awareness. In this paper, a smart smoke detector, implemented using Internet of Things (IoT) and multi-sensor fusion, real-time visual and intelligent alert mechanisms to enhance reliability in detecting fire are introduced. The proposed system has a multiple sensors that detect smoke and fire related parameters, thus minimizing false alarms, an integrated web camera, and operated by a servo motor to do a live monitoring of the environment. The predefined floor plan achieves fire localization of the source of fire, which facilitates the evacuation and fire fight work. The functional reliability and practical feasibility of the system is experimentally proven. The proposed solution can be scaled and applicable to implementation in daily residential and commercial locations and is a large improvement over the traditional fire alarm systems.

Keywords: Internet of Things (IoT), Smart Smoke Detector, Fire Safety System, Multi-Sensor Fusion, Intelligible Monitoring, Smart Buildings.